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CONSTRUCTIONISM AND DISCOURSEANALYSIS
Pirjo Nikander
Department of Sociology and Social PsychologyUniversity of Tampere
FIN-33014 University of TampereFINLAND
To be published in: HHAANNDDBBOOOOKK OOFF CCOONNSSTTRRUUCCTTIIOONNIISSTT RREESSEEAARRCCHHEEDDSS.. JJAAMMEESS AA.. HHOOLLSSTTEEIINN && JJAABBEERR FF.. GGUUBBRRIIUUMM,, Guilford Publications
Revised version 15 November 2006(8832 words)
The term “discourse analysis” (DA) is best understood as an umbrella designation for a
rapidly growing field of research covering a wide range of different theoretical
approaches and analytic emphases. What discursive approaches in different disciplinary
locations share, however, is a strong social constructionist epistemology--the idea of
language as much more than a mere mirror of the world and phenomena ‘out-there’, and
the conviction that discourse is of central importance in constructing the ideas, social
processes, and phenomena that make up our social world. The discourse analysis
described in this chapter is particularly influenced by discussions and developments
within discursive psychology (e.g. Edwards 1997, Potter & Wetherell 1987, Potter
1996). Key theoretical underpinnings, starting points and traditions of discursive
constructionism are discussed in detail elsewhere in this volume (see, for example,
Chapter 16 by Leslie Miller and Chapter 18 by Jonathan Potter and Alexa Hepburn).
The scope and topic of the current chapter is therefore also more notably aimed at
practical implementation and upon numerous empirical examples of ‘doing discourse
analysis’.
The chapter is divided into three sections. In the first, I briefly discuss some underlying
commonalities, analytic themes, and guiding principles of discourse analysis. In the
process, I provide a thumb nail sketch of the scope of different analytic emphases and of
the data sets available for a discourse researcher. Second, I discuss two empirical
examples, one from a research project focusing on constructions of age and ageing in
interview data, followed by an example of the analysis of naturally occurring videotaped
materials from institutional decision-making in meeting settings. These examples from
my own work hopefully will clarify some of the key questions of conducting discursive
research on different types of materials. They also show how constructionist
epistemology guides the formulation of research questions and explicate the various
decisions and considerations that go into the process of analysis and writing-up. The
final section of the chapter takes stock of the practical and evaluative side of analysis:
transcription, reliability and validity.
The Field of Discourse Analysis
Specifying discourse analysis as a method in any traditional way is difficult, if not
impossible. Instead, the status of discourse analysis is often described as a methodology
or as a theoretical perspective rather than a method (e.g. Phillips & Hardy 2002: 3), as a
general epistemological perspective on social life containing both methodological and
conceptual elements (Wood & Kroger 2000, 3), as an analytic mentality (Schenkein
1978; Gill 1996, 144), or as craft skill or form of scholarship (Billig 1988, Potter 1997).
Discourse analysis cuts across academic and disciplinary boundaries and neighbouring
methodological traditions in the fields of rhetoric (e.g. Billig 1996), membership
categorisation analysis, and conversation analysis (Silverman 1998). To add to the
variety, discourse analysis as an academic enterprise and construction is itself astir and
emerging. Researchers’ philosophies, research interests, and assumptions as to how
discourse analysis should be defined also vary and different analytic interests, schools of
thought, and understandings of “discourse” can easily be identified both within and
across disciplines (e.g. Burr 1995, Nikander 1995, Parker 1998, Wetherell 2001b,
Wodak 2006)).
The range also bridges critical perspectives. For example, critical discourse analysts
adopt an explicitly socio-political or ideological stance toward data and analysis (e.g.
Burman & Parker 1993, Fairclough 1995; Fairclough & Wodak 1997). Some emphasise
the applied and transformative nature of analysis (e.g. Willig 1999), while others,
particularly those closer to the conversation analytic tradition focus more explicitly on
the fine-grained microdynamics of interaction and on speakers’ orientations instead of
analyst’s concerns.
The different styles and analytic dimensions in discursive research are conveyed by the
following figure.
Constructionist Critical DA
Focus on the social and political context
Focus on the microdynamics of discourse onits own right
FIGURE 1: THE FIELD OF DISCOURSE ANALYSIS (DA)
Adapted from Phillips and Hardy 2002: 62
Any particular discourse analytic study can be located within this field that represents
different analytic emphases. Critical DA, for instance, aims at explaining the processes
of power from the outset: how power is legitimated, reproduced and enacted in the talk
and texts of dominant groups or institutions, while more pronouncedly data driven
bottom-up approach to discourse only attends to features that participants themselves
clearly orient to. Power, in the latter case, is limited to in vivo references to notions of
oppression and power in ways that make them analysable and hearable in interaction.
Common Themes
Given the heterogeneity of the field of discursive research, we need to ask what is
common to the variety. What themes, in other words, hold the enterprise together? The
foremost theme is the habit of attending to discourse and talk in a multitude of
interactional contexts and texts as the topic and focusing on the close study of language
use. Regardless of the particular form it takes, DA interrogates the nature of social
action by dealing with how actions and/or meanings are constructed in and through text
and talk. In practice, a discourse researcher looks for pattern and order in how text and
talk are organised and for how intersubjective understanding, social life and a variety of
institutional practices are accomplished, constructed and reproduced in the process.
How do people for instance make sense of their own identity and how are collectives
and groups - various types of ‘us’ and ‘them’ is you wish - discursively formed and
maintained through text and talk? Another potential layer for analysis focuses on the
construction of psychological categories in interaction. How do we make sense of and
use (references to) emotions or memories in interaction and what are the social functions
of psychological categories in interaction (Harré 1986)? A discourse researcher may
also focus on historical and longer-term features of discursive formation, for instance on
how meaning-making concerning a particular institution such as the university or the
European Union have developed over time. In general, topics such as hospital culture,
attitudes, everyday descriptions and opinions, institutional practices, emotions, and
identity are not approached as abstract structures or as separate from the interactions,
conversations and textually mediated practices that are an intrinsic part of their make-up.
Instead, discursive researchers prefer to approach these phenomena in terms of how they
are talked-into-being, and in relation to their social and interactional functions.
Potential data sets in discourse analysis include all forms of talk transcribed into written
format from audio or video recordings and a wide variety of written documents. Data in
DA range then from naturally occurring dyadic or multi-party conversations in everyday
and institutional settings to interviews and focus groups, the analysis of documents,
records, diaries and newspaper items, media products like political gatherings, speeches
or interviews and, increasingly, to the analysis of visual materials and semiotic
structures of place (Scollon & Scollon 2004).
A second common theme is the consideration of everyday language for its occasioned
and situated functions. The action orientation of discourse refers to the notion that
people do things with words (Austin 1962), they account for, explain, blame, make
excuses, construct facts, use cultural categories, and present themselves to others in
specific ways taking the interpretive context into account. The discourse researcher is
interested in identifying recurrent patterns in language use, not some internal
psychological or in-the-world entity that lies ‘behind’ and explains it. Explicating the
dynamics and dilemmas of people’s active sense making, the detail of people’s practices
of categorisation, accounting and explaining all lie at the heart of this analytic task.
Consequently, the focus is on how versions of our social realities are achieved in and
through texts and talk.
Consider for instance the following exchange between an attorney (A) and a witness
(W) in a rape trial cross-examination.
[Da:Ou: 1:2] (From Drew 1992: 489)i
A: It’s where uh (.) gi:rls and fella:s
meet isn’t it?
W: People go there
The business at hand in this courtroom is to establish- on the basis of evidence given -
whether characteristics of rape apply to the case at hand. In the extract above, the
attorney and the witness produce alternative descriptions of the location where the
victim and the defendant met. Their mutually competing versions clearly project
different motives, scenarios and interpretations of the actions on the night in question,
and the witness’ choice of words works to dispute those of the attorney’s. Formal
institutional contexts like courtrooms or meetings are typical sites where people clearly
do things and establish facts with words. In such contexts, talk is often rife with
discourse that is carefully crafted to fit the context. The same holds true - perhaps less
dramatically and obviously – for our everyday discourse where on the surface neutral
descriptions, accounts and categorisations are in similar ways about the ‘facts of the
matter’, possibly about our moral character or trustworthiness and about orienting to the
particular interpretive context and recipient. The process of becoming a skilled discourse
analyst thus includes making the familiar strange (Gill 1996: 144) and taking a step back
from the taken for granted nature of language. This requires developing a constructionist
analytic eye and ear--an appreciation of the detailed artfulness of text, talk and
interaction. In other words the task of the discourse analyst is to study “how people do
the transparently obvious” (Sacks 1974).
The third common theme in discourse analysis, which takes a special emphasis in
discursive psychology, is a focus on rhetorical organization, on the persuasive and
morally consequential aspects of language use. DA is sensitive to the notion that
discourse is guided towards persuasion and that this typically results in the
argumentative organization of talk and texts (see Billig 1996). In practical terms this
means that talk and texts can be analysed in terms of how they orient to or take into
account culturally available opposing argumentative positions. Such mutually
contrastive argumentative positions were evident in our earlier data extract from the rape
trial, but similar rhetorical structures – particularization and categorisation (Billig 1985)
– also form the basis of our everyday argumentation and discourse. In addition,
newspaper reports, parliamentary discussions, election campaigns and debates, which
are materials that discourse researchers commonly work with, all represent further
potential data sets where the analysis clearly stands to gain from rhetorical analysis. The
construction of facts in the news coverage on 9/11 and its aftermath, the political
discourse of New Labour, and the political argumentation concerning European Union
expansion are thus all examples of potential data for a discourse analyst.
Doing Discourse Analysis
A constructionist epistemology leads the discourse analyst towards a specific kind of
analytic orientation and interpretative take on data. Discourse and interaction are topics
in their own right, and language use is constructive action with specific rhetorical
characteristics. At the same time however, there is no one method in the sense of some
formally specified set of procedures or calculations, and constructionist theory does not
directly guide discourse analysis in particular ways. Instead, discourse researchers often
argue that the best way to learn the analytic craft skills is through practice and example
(e.g. Widdicombe 1993: 97; Potter and Wetherell 1994).
Analysis of Age in Interaction
Accordingly, consider first a study of the construction of age identities in interaction. In
this project, I wanted to look at how people talk about, make sense of and manage their
membership in a particular age category (Nikander 2000, 2002). To do this, I analyzed
interview accounts: the answers, anecdotes and stories by men and women who by their
chronological age had, or were about to turn fifty. My motivation for investigating this
topic was the fact that social scientific studies still largely seemed to treat age as an
unproblematic, independent and uninteresting background variable, as a simple
quantifiable individual denominator. Unlike discursive research on other social
categories such as gender (e.g. Stokoe 1998; Wetherall 2002; Wilkinson and Kitzinger
1995), or race and national background for example (Rapley 1998; Wetherell and Potter
1992) research on age and ageing seemed relatively slow to adopt language-centred,
discursive or interactional approaches. The study was thus geared to elucidate the
advantages and analytic mileage resulting from more systematic cross-fertilisation of
discursive analysis and life course research.
Formulating explicit research questions
Formulating clear-cut, creative and precise research questions provides a basic frame for
any successful research project (Phillips and Hardy 2002: 60). Setting out to look at
how baby-boomers ‘do age’ in interaction, my research questions were first formulated
broadly and clumsily into how do people position themselves and others in lifetime
terms? How are age identities ascribed and rejected, displayed and refused in
interaction? These questions already convey the basic constructionist starting point that
categories of age, like any cultural categories by which we understand and organise the
world around us, are ‘for talking’ and sense-making (Edwards 1991, 1998). After going
through literature from the identities-in-interaction tradition (e.g. Antaki & Widdicombe
1998; Shotter & Gergen 1989; Widdicombe & Wooffitt 1995) and empirical and
theoretical work on age in interaction (e.g. Coupland & Nussbaum 1993; Gubrium,
Holstein & Buckholdt 1994) I formulated more explicit questions that also defined and
guided the analytic take and the theoretical and methodological contributions I wished to
make to the existing literature. Important revelations as to the nature of the object of my
study, and the analytic niche available came from various sources. Consider the
following example on age-in-interaction.
A: How old are you Mr. Bergstein?B: I’m 48, I look much younger. I look about 35, and I’m quite ambitious and quite idealistic and very inventive and conscientious and responsible.
Sacks (1992, Vol. 1: 44).
In this example from his lectures, Harvey Sacks points out how the speaker’s list of
added modifiers to the discloser of his chronological age: ’I’m 48’ does discursive work
to pre-empt possible negative attributes applied to someone in that age category (that
someone who is 48 is past their prime, over the hill etc.). With the help of empirical
research literature and examples like the one above, I started to acknowledge and
incorporate the positioned and factual characteristics of stage of life categories into my
research questions. Reading my data, I also began to understand that they could be
approached as a showcase of moral and factual discourse in interaction (see Bergman
1998, Jayyusi 1984, Nikander 2000). In the end, the study was framed as one making
empirically grounded observations (Nikander 2002: 15)
(i) On how people orient to, and display the factual nature of the human lifecourse as a progression, and how overlap between age categories is managed
(ii) On the discursive practices through which membership in an age category iseither warranted or resisted
(iii) On the discursive formulations of personal change and continuity, and
(iv) On the patterns of moral discourse in age-in-interaction
Working with interviews in DA
The data in the baby-boom study consisted of interviews. The field of discourse research
is however, of two minds when it comes to using such materials as data. In the natural
vs. contrived debate the relative advantages of using ‘naturally occurring’ or
‘naturalistic’ data as opposed to ‘researcher-provoked’ or ‘artificial’ data have been
explicitly contrasted with each other. In a recent thorough overview of the debate, Speer
(forth.) recommends caution in applying the natural/contrived distinction too rigidly and
suggests that strict and hard lines not be drawn in haste. Justification towards this line of
argument can in fact be found from the appreciation that much of the influential work in
discourse analysis originate from studies using interviews. Dorothy Smith’s (1987) and
later Wooffitt’s (1992) groundbreaking work on fact construction and factual discourse,
analysis of construction of authenticity (Widdicombe and Wooffitt 1995), work on the
construction of professional and gender identity (Marshall & Wetherell 1989) on gender
discrimination (Gill 1995) as well as analysis of interpretative repertoires in talk about
race (e.g. Wetherell & Potter 1992) are all ample examples of the analytic force and
richness of findings that originate from interview data.
The discursive field is unanimous however on the point that in contrast to realist or
factist social science perspectives (ten Have 2004: 73) interview data within discourse
analysis is viewed ‘as interaction in their own right’ (e.g. Potter and Wetherell 1987;
Wetherell and Potter 1992). This entails understanding questions not as a medium into
the inner world or opinions of respondents, but rather, as a central part of the data. DA
also addresses and analyses participants’ orientations to the relevance of their talk as
interview talk (e.g. Baker 1997). In recent texts the constructed nature of interviews as
interaction is also embraced as a specific social context; as constituting a specific
category of institutional talk that can be studied in itself. As a result, the research
interview as a discursive act opens up to a rich variety of analytic and theoretical
perspectives (e.g. van den Berg, Wetherell & Houtkoop-Steenstra 2003). It seems then
that interview data continues to yield analyses that alongside work on other types of
similarly important data enrich the discourse analytic tradition.
Creating data collections from materials
Data collection in discursive research is always followed by a time consuming period
during which the researcher immerses in the materials by thorough reading and re-
reading. When audio or videotaped interaction is in question, it is recommended that this
is done side by side with the original recorded material. Next, the body of texts or the
transcribed talk is coded according to the researcher’s interests and initial analytic
questions are often further specified and refined at this stage. Developing and finessing a
coding system and coming up with suitable organizing principles for the material is
where DA practice turns into a craft skill. Precise procedural guidelines are impossible
to come by in any conventional sense and the sorting of materials is always more of less
specific to the data and research questions. Familiarity with choices made in earlier
empirical research, method textbooks as well as software packages can be of assistance
at this stage (see e.g. Taylor 2001, Phillips & Hardy 2002, Wood & Kroger 2000).
Coding in DA is more that simply a mechanical procedure that precedes analysis proper.
It is guided by constructionist sensitivities and assumptions about language, interaction
and society, and by theoretical underpinnings and research questions. Reading of the
data may in part also take place in joint data sessions with colleagues. This affords
multiple opinions and observations to emerge and functions as a sounding board for
preliminary coding, analysis and interpretations. Reading the data may include asking
specific questions such as the following. What do speakers produce as relevant in this
account? How do participants interpret what is being said, what is their uptake? Why
this particular category/detail/silence here? Is the speaker doing some extra discursive
work or accounting? Why do I feel that some topic is avoided or only alluded to? What
are participants orienting to in their talk? Posing such questions to the material, as well
as reading for variation, detail and pattern all work as gateways into analysis and the
actual writing-up (see also Potter & Wetherell 1994; Wood & Kroger 2000).
The reading of materials often takes place in phases. The researcher first reads or
observes variation in the text, or notices particularly striking moments in the interaction.
Very soon one might start reading and searching for recurrent patterns and gathering
these into collections that then become a corpus of data. Collections are pieces of text
and talk with several discrete components in common that warrant their examination
together. According to Wood and Kroger (2000: 117), discourse patterns may be
synchronic (e.g. used by a particular participant) or diachronic (recurrent in the turn-
taking of participants). They may be found across participants, within or across sections
and occasions and so on. In the case of the fifty-something interviews, this work stage
involved first, reading the 800 pages of transcribed interview talk in detail and
identifying and developing a coding system for the variety of points where age, in
various ways, became topical in the interaction. Further immersion yielded several
recurrent discursive patterns that the analysis subsequently focused upon. For instance I
identified one particular recurrent discursive structure by which speakers seemed to both
acknowledge physical, psychological, and other change as a common norm and fact of
life and ageing, while at the same time placing themselves at least temporarily, outside
such change. The following extracts, transcribed in both English and Finnish, provide
examples from this collection.
Extract 1. PN: M4: Mikael (Cas 1, A: 3.2-3.9)
1. M: Well I’d (.) this is still quite No mää (.) täähän on vielä ihan2. a good age when you’re healthy hyvä ikä kun on terve3. PN: mm mm4. M: There’s like nothing yet Eihän tässä vielä mitään oo5. (.) otherwise to worry about (.) muute hätää oo6. PN: ye-es joo-o7. M: mm (0.2) you of course (.) little mm (0.2) sitä tietysti (.) pikkuhiljaahan sitä8. by little start to calm down and rupee ihminen vähän rauhottumaan ja
9. (0.4) with the years (0.4) ku ikää tulee10. but like I wouldn’t otherwise see mutta tuota en mä muuten näkis tässä11. it as any sort of a problem minkäänlaisena probleemana12. this age of mine yet= tätä ikääni vielä=13. PN: yes joo14. M: =as long as you have your health =niin kauan kuin että terveyttä on
Extract 2. PN: W12: Anna (Cas 1, A: 3.6-4.6)
1. > it hasn’t been a< reason >se ei oo myöskään ollu2. for crisis for me personally (.) mikään< kriisin aihe mulle itselle (.)3. for the time-being don’t know if it toistaseks vielä en tiedä4. turns into one some day but like vaikka tulee sit joskus mut että5. PN: mm mm6. L: growing old and age vanheneminen ja ikä7. so like (0.2) at least at this et tota (0.2) ainakaan tällä8. moment (.) I don’t feel that way hetkellä (.) en koe sitä
Extract 3. PN: W1: Laura 1 (Cas 1, A: 10.3-10.4)
1. L: So there’s like nothing yet (.) Ettei oo niinkun mitään (.)2. that would’ve clearly marked tämmöistä jossa ois selkeesti3. (.) that now your age comes in tullu vielä että (.) et nyt se ikä4. the way haittais5. PN: yeah joo6. L: I mean it will surely sta(h)rt Et kyllä niitä varmaan sit7. little by little when you start to pikkuhiljaa rupeen tulema(h)an8. ache here and there kun rupee kolottaan sieltä ja täältä9. But not like (2.0) I can’t Mut ei niinkun (2.0) en ainakaan10. say that yet at least vielä osaa sanoa
What struck me in these extracts and others like them, was how notions of continuity (in
the present day) and impending change and decrement (possibly in the future) are
constructed using a three-component structure (marked by arrows). Note how in the first
part of this format, personal change with age is denied, often by using an extreme case
formulation (Pomerantz 1986) of the type: ‘nothing has changed yet.’ This statement is
followed by an account that works to soften the extremity of the previous claim, by
acknowledging the impending possibility of change, or by acknowledging that some
change may have happened. The second part also typically includes reference to
common sense with acknowledgement tokens such as ‘of course’, or ‘surely’. The third
part is then produced contrastively with a but and a temporal marker (yet, at least at this
moment). This re-establishes the speaker’s no-change status in the present. This
recurrent pattern in my data seemed, in other words, to function as an excellent practical
tool for the discursive management of the factual commonsense existence of change in
the life course.
Making cross-reference to other studies and findings
One additional subject that I wish to address in relation to this research is the use of
existing discourse studies as a comparison point for one’s own material and analysis.
This is where reading and being familiar with the literature and other pieces of analysis
not only helps to build the analytic acuity needed, but also to make relevant and
sustainable interpretations in ways that add to existing body of analyses. Returning to
the baby-boom interview material, this meant that the identification of specific patterns
like the one described above, led me to look for instances as to how it might apply
across different contexts. What I found was that the discursive pattern identified carried
considerable family resemblance to what Charles Antaki and Margaret Wetherell (1999)
call ‘show concessions’ as well as to other data, where speakers are talking about
change. The following extract comes from Sue Widdicombe and Robin Wooffitt’s
(1995, 168) study on youth subcultures. Here is an exchange between the interviewer
and a participant that identifies himself as a punk rocker.
A comparative extract from Widdicombe and Wooffitt (1995, 168)
1. I: is being a punk very ((smiley voice))
2. important for you?3. R: yeah very indeed4. I couldn’t imagine myself being5. straight at all6. (.) like dressing neatly in tidy7. nice clothes an’ having my hair8. down and all that .hh9. na I can’t imagine=probably10. in a couple of years times11. I’ll be like that but I-I-12. at the moment I can’t imagine it at all
Note how a discursive formulation somewhat similar to those found in my data
functions here. This time the linguistic pattern is used to describe one’s personal style of
dressing as open to possible change in the future, but as something that nonetheless
remains continuous and unchanged in the present day. The point I wish to make here is
that using earlier research and analytic observations as a reference and comparison point
can render research more generalizable. More importantly, it gives credit to earlier
findings, supports the analytic choices made and helps form new, more solid bases on
which future empirical observations can be built.
Perspectives on institutional decision-making
Resonating with concerns for the institutional contexts of interaction, the same data set
often affords multiple analytic angles and points of interrogation. I use an empirical
study of institutional decision-making as a case in point. The data derive from a project
where extensive naturally occurring video data were collected in the same institution
during a period of one year (see Nikander 2003, 2007). The data consist of 42 hours of
team meetings between professionals within the social and heath sector, including
doctors, nurses, home-help personnel, social workers and a secretary. The practical task
for the team meetings is to make concrete decisions either on financial support to elderly
clients still living at home, or on long-term nursing home placements. The data thus
represents one focal interactional site where the practical work of people processing in
human service organisations gets done, largely through talk. The study can also be
located within the construction of social problems tradition (e.g. Holstein and Miller
1993) in that the data concerns the social processes of situational definition and claims
making by institutional actors in interaction.
The normal flow of interaction in the team meetings consists of a chain of client
case descriptions. Case presentations that are normally produced in monologue are
followed by collegial discussion that varies in length, and usually by a turn that
marks that a decision about a client case has been reached. After this, the next
client case is introduced. The aim is to go through a number of client cases and to
provide criteria and arguments either for or against placing a particular client into a
category of care recipiency.
Below we have an example in both English and Finnish of a case description that
is presented in a comparatively short, consensual and uncomplicated fashion.
Extract 4: M10: C12 21:21Speakers: HHH = head of home help, HN = head nurse (district), S = secretaryPseudonyms: Sunnybrook (Mikonmaa) = hospital, Greyfield (Harmaaharju) =nursing home
1. HHH: yes .hhh well then there’s joo .hhh no sitten on2. ((last name + first name)) (0.8) ((sukunimi + etunimi)) (0.8).
3. and she’s er (1.2) now, (0.5) ja hän on tuota (1.2) nytten (0.5)4. in Sunnybrook hospital and Mikonmaan sairaalassa ja5. has: gone there on the fifteenth of on: sinne viidestoista6. Mayhh (0.8) due to decline in viidettähhh (0.8) mennyt7. general condition (0.5) yleiskunnon laskun (0.5)8. forgetfulness and disorientation muistamattomuuden ja sekavuuden vuoksi9. (0.6) after falling at home (0.6) kaaduttuaan kotona10. up till now she’s been living hän on tähän asti asunut11. alone secured by relatives yksin siellä omaistenhhh ja12. and three daily visits from kolme kertaa päivässä käyvän13. home help (0.5) there’s a kotiavun turvin (0.6) tänne on14. (2.8) assistant senior doctor N (2.8) apulaisylilääkäri N15. has been consultated tehny konsultaation16. on the twelfth of June and (.) kahdestoista kuudetta ja (.)17. hhh noted that ((the patient)) hhh todennut ettei ((potilas))18. doesn’t need hospital care tarvitse sairaalahoitoa19. but that all means of non- mutta (.) avohuollon mahdollisuudet20. institutional care have run up and on käytetty loppuun ja21. given this (0.5) he suggests this näin ollen (0.5) ehdottaa tätä22. placement (.) in Greyfield (.) Harmaaharjun (.) paikkaa (.)23. and home help? (.) ºagrees? ja kotihoito? on (.) ºsamaa? mieltä24. (1.2) so I guess we’ll acceptº mieltä (1.2) että hyväksyttäneenº25. HN: [accepted [hyväksytty26. S: [mm [mm27. HHH: ºgood? º (4.0) <then> next we have ºhyvä?º (4.0) <sitte> meillä on seuraavana
As pointed out already, any DA audio or video data set affords multiple analytic angles.
One obvious choice for a unit of analysis here was the detail in which case descriptions
were constructed. Analysis of the discursive detail through which individual clients are
talked into being in case talk includes analysis of what gets produced as relevant for
decision-making (Edwards 1998) and how specific categorisations in themselves already
project and index specific outcomes and decisions. In extract 4, the routine mention of
the absent client’s name is this time followed by mention of her current whereabouts,
medical condition and network of care.
In some cases however, specific categories may be produced early on. Consider the
material in Extract 5 for a contrasting case.
Extract 5. M4. Nursing home placements (12.32-)Speaker: HSW = Hospital social worker, Fairfield (Teukka) = a hospital
1. HSW: Okay the first one is Okei ensimmäisenä2. ((last name + first name)) ((sukunimi + etunimi))3. (0.8) on page what three (0.8) sivulla mikä kolme4. (3.8) ((page leafing)) (3.8) ((monisteiden selailua))5. HSW: A: (0.8) er never married female Tämmöne:n (0.8) eh neiti-ihminen6. who has come to us in joka on meille tullu7. Fairfield (1.2) in July a:nd Teukkaan (1.2) heinäkuussa ja:
This is a compact example of how specific detail, the marital status and the gender of the
client, in an economical way already indicate that this woman does not have a spouse or
children to fall back on. Despite its demographic, ‘just ticking a box’ –type character, the
categorisation therefore already moves the client into a specific cluster of action-worthy
cases and indicates that an institutional intervention may be needed.
Looking at how client cases are discursively constructed is thus one crucial analytic angle
to these as well as other data and studies consisting of professional –client encounters.
Other possibilities include reading the data in terms of the social functions of
psychological or emotion discourse in decision-making (Nikander 2007), mapping the
practices whereby professionals move between written documents or computer files and
their own first-hand eye-witness knowledge on the clients, identifying how professional
boundaries and power structures are alluded to, constructed and demarcated through
discourse, or how moral responsibilities of the community, the professionals and the
family of the elderly clients are negotiated (Nikander 2005) and so on. The data may also
yield methodological points of view like analysing the data in terms of participants’
orientations to the camera. In DA studies common claims about data contamination can
easily be turned around into an analysable topic.
The richness of data and the potential for multiple analytic view points is a further benefit
of working with audio and video. Faced with such ample range of choice, the researcher
zooms in on particular interactional phenomena with a specific analytic and theoretical
contribution to the wider field of DA studies in mind. The richness of data is also a
practical issue that concerns writing-up results in separate articles, chapters or in more
practice-oriented pieces that help take the analytic observations of a discourse analyst
back to the institutional field where they originated from.
Transcripts, validity and reliability
Finally, let me address some key points of producing good quality discourse analysis.
Good quality in all social scientific work builds on generally agreed upon norms such as
ethically sound starting points and principles (e.g. Taylor 2001). Here the focus however,
is more specifically on the validity and reliability in research working with texts and with
good practice in our analysis. We can start with a list of questions that is by no means
exhaustive.
What are the specific strengths of working with transcripts?
Does translating transcripts affect validity?
What are the special characteristics of the data that are collected through audio or
videotaping?
What kinds of social and interactional processes are missed?
Are transcripts enough, or should data also be gathered by other means?
Specific strengths in working with transcripts
The most common rationale for working with transcripts is that recordings and transcripts
based on them provide a highly detailed and accessible representation of social action
(Peräkylä 1997: 203). In DA, the detail of empirical material is presented in a form that
allows readers and fellow researchers to ‘to make their own checks and judgements’
(Potter and Edwards 2001: 108). Transcripts bring immediacy and transparency to the
phenomena under study, and the audience is given almost equal access to inspect the data
on which the analysis is based, alongside with the researcher. In addition to immediacy,
the analysis of transcripts, particularly conversation analysis, is ‘rigorous in its
requirement of an empirical grounding for any description to be accepted as valid'
(Peräkylä 1997: 202). In discourse analysis the requirement to anchor analytic
observations firmly in the data is also imperative. Compared to conversation analysis,
more latitude is sometimes allowed however, and the final evaluation of the
persuasiveness of an analytic claim is left for the reader (see Seale 1999). So in addition
to analytic grounding, discourse analysis has emphasized the rhetorical persuasiveness, or
the convincing qualities of the research report, as well as the reader's active judgement on
its validity.
The reasons and justifications for working with transcripts are typically presented in
contrast and comparison to ethnography, particularly in contrast to the use of field notes.
According to Anssi Peräkylä, working with transcripts 'eliminates at one stroke many of
the problems that ethnographers have with unspecified accuracy of field notes and with
the limited public access to them' (Peräkylä 1997:203, see also discussions in Maynard
1989, 2003 and in West 1996). He is not alone in saying this. The problem with the
reliability of field notes is that they are observations turned into texts: they are
reconstructions from an observer's notes, and as such based on the memory of their
writer. The reader has no direct access to the actual goings-on but must take on trust that
the descriptions and observations do justice to the 'reality' and to the initial interactions
that the descriptions are about. One can therefore suspect, as Paul Atkinson has done
(1992), that field notes are based on rhetorical construction and active selection by the
author. Working with transcripts efficiently solves such problems and builds a solid
ground for analysis.
Peräkylä also points to (1997: 203) Jerome Kirk and Marc Miller’s definition of
reliability as ‘as the degree to which the finding is independent of accidental
circumstances of the research’ (1986: 20). Securing superior reliability and transparency
when working with transcripts, according to Peräkylä, requires adequate and high
technical quality of the recordings they are based on and that proper attention be paid to
data selection (1997: 205-207). A further source of quality in DA research results from
collective analysis in data session. These can be taken as an exercise in inter-rater
reliability. That is, results are rarely based on an individual researcher’s reading but
rather, collectively produced interpretative testing feeds into and informs the analyses
prior to publication.
Translated transcripts
The discourse methods literature has produced several excellent overviews on the best
practices in producing transcripts, discussions on the rationale of not producing tidied-up
versions of them and on the rationale of using specific transcription notations (e.g.
Silverman 1993, Taylor 2001, West 1996). One largely overlooked question in the
literature concerns the fact that a large proportion of DA work is done on languages other
than English. Discussion on the additional complications that follow from having to
produce and translate transcripts of data originally in another language for an English
speaking and reading audience remains a rarity in the DA literature (e.g. ten Have 1999,
Nikander 2002, forthcoming). A few points deserve mention here. First, it seems that
presenting the original data alongside the translation into the language of the publication
(often English) is a norm that fits the principle of validity and reliability through
transparency outlined above. Second, translating data extracts is not merely a question of
‘adopting’ a ‘transcription technique’ but rather includes a range of practical and
ideological questions as to the level of detail in the transcription, and of the way in which
the translations are physically presented in print. Third, in case we understand transcripts
as central to guaranteeing the publicly verifiable nature of DA research, generally agreed
upon rules concerning the layout and publication practices concerning these data should
be in place. One example of a possible layout has been used in this chapter.
Special characteristics of data collected through audio or videotaping: Is something
missed?
All types of research methods inevitably include delimiting the data in some ways. All
data are produced. They are limited presentations of the social world and in themselves
already a product of specific choices made by the researcher (e.g. Hester and Francis
1994). Despite the acclaimed accuracy and public access of audio and video materials,
some critics argue that the use of such technologies, particularly when studying various
work or institutional settings, is in danger of shaping our research questions, the
occupations studied and therefore potentially also in danger of producing distorted
representations of work practices (Hak 1999). Tony Hak’s criticism is directed
specifically against conversation analysis in institutional settings, but can, in part, be
extended to discursive research as well.
According to Hak, the use of audio or video recordings sets certain limits to what can be
studied and what kinds of questions are asked. For instance, considerable amount of
research has been done on relatively stationary situations such as consultations, meetings
or ward rounds, whereas the multitude of goings-on in corridors, by the bedside, ad hoc
informal discussions between the staff and between the staff and clients are lost to what
Hak calls the 'discursive gaze'. Another limitation with working with recordings is that
the discursive gaze means that only work situations that get done through a lot of talk are
focused upon. Hak claims this also means that research easily concentrates on data
recorded amongst professions with a higher status, while menial work, unremarkable
aspects of work practices, and certain tasks such as bathing, cleaning, and cooking meals
are overlooked (1999: 440). This has some political implications: being a focus of
research often brings positive effects for the category of workers studied. According to
Hak it is therefore regrettable that studies of discourse in work settings often focus on
professions with higher status.
These are only a few important points made by Hak, but they raise serious concerns
worth considering. Simultaneously however, Hak’s criticism clearly misrepresents and
does injustice to discursive (and conversation analytic) research and fails to appreciate
the rapidly broadening range of empirical analyses. The collection of video-recorded
material in institutions inevitably includes field-time similar to ethnography, the non-
verbal side of interaction is often an integral part of DA and related technological
developments already enable a variety of mobile data collection in different interactional
settings. Hak’s criticism is also built on simple juxtaposition between research based on
the use of recordings and transcripts and the ethnographic tradition, which in itself is a
rather arbitrary distinction.
Other forms of data
Still, the question remains, are transcripts enough or should data also be gather by other
means? In practice discourse analytic research rarely limits itself purely to video or audio
taped data. In fact, the research literature offers a number of helpful suggestions of
combining ethnography and interviews with discursive analysis, of using textual
materials, and of following longer term interactional processes. According to Douglas
Maynard for instance (1989, 2003: 64-87), analysis of discourse episodes may de-
emphasize the institutional context wherein those episodes occur. Similarly however,
granting uncontrolled primacy to ad hoc ethnographic knowledge on the wider social
environment and the setting surrounding the interaction may result in data loss (2003,
71). According to Maynard: ‘ethnographic insistence on the relevance of larger and wider
institutional structures can mean a loss of data in and as the interaction, for attention
shifts from actual utterances in the fullness of their detail and as embedded within a local
interactional context to embrace narrative or other general accounts concerning social
surrounding’ (2003: 72). He proposes limited affinity between ethnography and
discourse/CA research and points to three precise ways in which ethnography can
complement close analysis of video and audio data: in descriptions of settings and
identities of parties; in explications of key terms, phrases and course of action that the
researcher is unfamiliar with; and in explaining “curious” patterns that prior analysis may
reveal (2003: 73).
In the end, putting up strict restrictions as to what types of data DA research should be
restricted to is futile and discourse researchers continue to vary in the degree and style in
which social structure is incorporated and what is granted primacy, set at the foreground
or background in their analyses. David Silverman (1999) has argued for collaboration
between different traditions and against establishing sectarian armed camps, based on
animosity. It is through surprising and ongoing exchange and dialogue between research
traditions that new outlooks emerge. Using transcripts, collecting observational data,
using documents, and conducting interviews do not rule each other out and in practice
DA researchers are encouraged to combine a wide range of different materials.
Conclusion
Translating a skill into a technique (Hepburn 1997: 33) is always a difficult task. Simple
linear recipe-book models of discursive analysis can never do justice to the complexity of
DA and its different versions, traditions and debates. Instead of attempting to pin down
discourse analysis as a ‘constructionist method’, the goal in this chapter has been to give
a taste of the rationale for doing discursive research and on providing general guidelines
and empirical examples of what the analyses in this tradition have to offer. Critical
voices, tensions and ongoing debates are always a sign of lively and fruitful academic
enterprise. Therefore such voices were also included, not silenced.
The future development of the field of discourse analysis depends, however, on how
members new to the field adopt existing versions and traditions, how they add to,
transform and further extend the body of analytic findings and agendas, and on how they
find new insightful means of analyzing empirical material. The construction of new
forms of discourse analysis will continue as theoretical boundaries shift and new and
exciting approaches emerge.
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i All data extracts in the chapter follow the transcription conventions originally developed by Gail Jefferson(see e.g. Atkinson and Heritage 1984 for details).